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Patent Agency Ranking
公开(公告)号：US20220237101A1
公开(公告)日：2022-07-28
申请号：US17155670
申请日：2021-01-22
Applicant: salesforce.com, inc.
Inventor： Sahibdeep Singh , Linda Wei , Ahmet Bugdayci , Mario Sergio Rodriguez
Abstract: Systems and methods are described for generating metrics from log data items, automatically interring one or more schemas based at least in part on analyzing samples of the log data items, validating samples of the log data items against the one or more schemas to detect log data item errors, and analyzing the log data item errors according to metrics analytics rules to determine an effect of the log data item errors on a quality measurement of the metrics.
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公开(公告)号：US20220237102A1
公开(公告)日：2022-07-28
申请号：US17155810
申请日：2021-01-22
Applicant: salesforce.com, inc.
Inventor： Ahmet Bugdayci , Mario Sergio Rodriguez , Linda Wei
Abstract: Systems and methods are described for applying a plurality of data points of a time series data set representing values of a metric measuring performance of a cloud computing service to a machine learning model to predict a forecast of a most likely value of the metric at a selected future time. The method includes determining whether the plurality of data points of the time series data set are anomalies according to the machine learning model and the forecast and generating a collective anomaly from the anomalies when the plurality of data points is determined to be anomalies. The method further includes determining whether the collective anomaly does not meet one or more cloud computing service level objective (SLO) threshold requirements and sending an alert when the collective anomaly does not meet one or more cloud computing SLO threshold requirements.
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公开(公告)号：US11640348B2
公开(公告)日：2023-05-02
申请号：US17155810
申请日：2021-01-22
Applicant: salesforce.com, inc.
Inventor： Ahmet Bugdayci , Mario Sergio Rodriguez , Linda Wei
Abstract: Systems and methods are described for applying a plurality of data points of a time series data set representing values of a metric measuring performance of a cloud computing service to a machine learning model to predict a forecast of a most likely value of the metric at a selected future time. The method includes determining whether the plurality of data points of the time series data set are anomalies according to the machine learning model and the forecast and generating a collective anomaly from the anomalies when the plurality of data points is determined to be anomalies. The method further includes determining whether the collective anomaly does not meet one or more cloud computing service level objective (SLO) threshold requirements and sending an alert when the collective anomaly does not meet one or more cloud computing SLO threshold requirements.
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公开(公告)号：US20220237096A1
公开(公告)日：2022-07-28
申请号：US17155676
申请日：2021-01-22
Applicant: salesforce.com, inc.
Inventor： Ahmet Bugdayci , Mario Sergio Rodriguez , Ivan Koval , Linda Wei , Sahibdeep Singh , Marc Brette
Abstract: System and methods are described for parsing log data items to find events in the log data items, wherein an event comprises at least a portion of a log data item matching an event definition; aggregating a plurality of performance metric definitions into a single expression; and generating a plurality of performance metrics from the events by applying the single expression to the events.
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公开(公告)号：US11449409B2
公开(公告)日：2022-09-20
申请号：US17155670
申请日：2021-01-22
Applicant: salesforce.com, inc.
Inventor： Sahibdeep Singh , Linda Wei , Ahmet Bugdayci , Mario Sergio Rodriguez
Abstract: Systems and methods are described for generating metrics from log data items, automatically inferring one or more schemas based at least in part on analyzing samples of the log data items, validating samples of the log data items against the one or more schemas to detect log data item errors, and analyzing the log data item errors according to metrics analytics rules to determine an effect of the log data item errors on a quality measurement of the metrics.
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